We extend the model of Karlof and Wagner for modelling side channel attacks via Input Driven Hidden Markov Models (IDHMM) to the case where not every state corresponds to a single observable symbol. This allows us to examine algorithms where errors in measurements can occur between sub-operations, e.g. there may be an error probability of distinguishing an add (A) versus a double (D) for an ell...

The mere number of various apparently different statistical attacks on block ciphers has raised the question about their relationships which would allow to classify them and determine those that give essentially complementary information about the security of block ciphers. While mathematical links between some statistical attacks have been derived in the last couple of years, the important lin...

Time-memory-data tradeoff (TMD-TO) attacks limit the security level of many classical stream ciphers (like E0, A5/1, Trivium, Grain) to n/2, where n denotes the inner state length of the underlying keystream generator. This implies that to withstand TMD tradeoff attacks, the state size should be at least double the key size. In 2015, Armknecht and Mikhalev introduced a new line of research, whi...

Side-channel attacks are a very powerful cryptanalytic technique. Li and Gu [ProvSec’07] proposed an approach against side-channel attacks, which states that a symmetric encryption scheme is IND-secure in side-channel model, if it is IND-secure in black-box model and there is no adversary who can recover the whole key of the scheme computationally in side-channel model, i.e. WKR-SCA ∧ IND → IND...

Let G be a permutation group acting on a set V . A partition π of V is distinguishing if the only element of G that fixes each cell of π is the identity. The distinguishing number of G is the minimum number of cells in a distinguishing partition. We prove that if G is a primitive permutation group and |V | ≥ 336, its distinguishing number is two.

We explore the computational complexity of stability and relevance in incomplete argumentation frameworks (IAFs), abstract that encode qualitative uncertainty by distinguishing between certain uncertain arguments attacks. IAFs can be specified by, e.g., making or attacks certain; justification status an IAF is determined on basis An argument stable if its same all specifications IAF. For are no...

Rabbit stream cipher is one of the finalists of eSTREAM project which uses 128-bit secret keys. Prior to us, the attacks on Rabbit has been all focused on the bias analysis and the best result showed the distinguishing attack with complexity 2. Our analysis in this paper, is based on chosen IV analysis on reduced N-S round of Rabbit though using multi cube tester. For this purpose we show for a...

The use of deep learning in various models is a powerful tool detecting IoT attacks, identifying new types intrusion to access better secure network. Need developing an detection system detect and classify attacks appropriate time automated manner increases especially due the nature its data that causes increasing attacks. Malicious are continuously changing, cause In this paper we present surv...

This paper presents a byte-oriented stream cipher – Loiss, which takes a 128-bit initial key and a 128-bit initial vector as inputs, and outputs a key stream of bytes. The algorithm is based on a linear feedback shift register, and uses a structure called BOMM in the filter generator, which has good property on resisting against algebraic attacks, linear distinguishing attacks and fast correlat...

To improve the efficiency and usability of adaptive anomaly detection system, we propose a new framework based on Support Vector Data Description (SVDD) method. This framework includes two main techniques: online change detection and unsupervised anomaly detection. The first one enables automatically obtain model training data by measuring and distinguishing change caused by intensive attacks f...